We forecast broadcaster viewing share to drop to 52% in 2030 (from 58% in 2023), with the firming of its on demand viewing unable to balance out the decline of live: this is a slight improvement on our past estimates, with decline slowing.

SVOD viewing will begin to plateau in 2025, as video sharing platforms (YouTube, TikTok, Twitch) take an increasing share of engagement.

On the TV set, YouTube will grow strongly: we predict a 90% increase from 2023 to 2030. This is from a low base with broadcasters retaining 70% of viewing on the main screen in 2030

Service revenue growth was broadly flat at 1.7% as improvements in Germany offset weaknesses in Italy.

The impact of price increases has been mixed, with subscriber losses dulling their upside, and the mixed picture looks set to continue into Q2.

The market continues to be challenging with elevated competition at the low end, pressure from some regulators to increase network coverage, and a somewhat soft EBITDA outlook.

AI integration into production tools throughout media industries will deliver increased productivity for professional content creation. Generally available tools will also improve quality and production speed for individual user-creators.

Roadblocks include the uncertain copyright status of models and their outputs, attitudes of creative workers and consumers, and the AI tech underdelivering versus what was promised. The need to integrate new tools into existing processes is perhaps the biggest brake.

There are stark differences by sector: the opportunities are greatest in games, where costs have ballooned and software engineering is core. Marketing is furthest in exploiting AI, while audiovisual production is more cautious.

Reddit, a unique and valuable online space, has reported its first quarterly results as a public company, following a very successful IPO.

In the longer term, Reddit is doomed to scratch out an unprofitable existence as a wannabe scale ad platform, echoing peers in the public markets.

Advertising is probably the least-bad business strategy, as user payments, ecommerce and licensing revenues are even less proven. Dialling back growth ambitions to improve the bottom line is the most sustainable path.

With traffic from Facebook and X to news publishers’ destinations in decline, distribution is shifting to other platforms where they have more control, such as feeds served on WhatsApp and newsletters on LinkedIn

There is no one silver bullet platform to replace Facebook, on which certain publishers became overly reliant, or X. News publishers are trying out a myriad of platforms to see which work best for the specific audiences and use-cases they are cultivating

WhatsApp and LinkedIn are still platforms that are mediated for news publishers, so risks remain. These platforms have highly differentiated alignment with the needs of enterprises producing journalism
 

TikTok has been dealt a devastating blow as a US bill has been signed into law forcing owner ByteDance to sell within a year or face its removal from app stores. 

The stakes are higher than in 2020—China's opposition to a divestment will make an optimal sale harder to conclude, so all sides must be prepared for a ban.   

The TikTok bill introduces extraordinary new powers in the context of the US and China's broad systemic rivalry, though online consumer benefits will be limited.  

The US is intent on preventing the CCP’s goal of AI supremacy by 2030, banning exports of advanced AI chips to Chinese companies. So far, these bans have largely been shrugged off to create a new commercial dynamic in the region. 

Huawei wields a de facto monopoly on the manufacture and sale of advanced chips in China. Huawei also sells cloud services globally and threatens Apple's $70 billion in Chinese revenues through its premium handsets. 

China’s AI regulation is highly supportive of the training and deployment of Chinese-language LLMs developed by tech platforms, startups, and device makers, with meaningful revenue gains only appearing by H2 2024. 

Recent advances in 'Artificial Intelligence' have generated excitement, investment and improved valuations, on the plausible promise of greater efficiency in a range of areas, such as health and coding.

It is still not clear who will profit from this boom. Currently chip-maker NVIDIA is cleaning up, propelled by sales to model developers, also driving demand for cloud computing services.

Leverage in the AI value chain depends on differentiation and barriers to entry, which are high in the chips industry. AI services like chatbots have much lower barriers to entry, while deeper vertical integration of more stages of the value chain could shake things up.

Meta's China risk is overstated: the spend from Chinese advertisers is diverse and resilient to everything short of a full-blown trade war. 

Apple (and Tesla) are in the more precarious position of selling directly in-market, and face sharpening domestic competition.

Amazon's exit from selling in China still leaves it exposed: its marketplace strategy is built on Chinese sellers, whose potential routes to market are proliferating with local platforms going global.  

Magazines are in the final phase of industrial-scale print volumes, with the era of artisan print magazines already highly visible and blooming, celebrating the reader’s tangible experience of the design and rich content, drawn by the brand’s authority.

Publishers’ online revenue models have diversified by attracting third-party sources—advertisers, campaign partners and affiliates—alongside a relatively tepid commitment to audience-led revenue models, with exceptions.

Publishers seeking a sustainable digital future by circa 2030 will need to focus more on audiences than on advertisers, leveraging core brands across multiple channels to build community, with print playing a narrower, lucrative and much-loved role.